Submission¶

Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace

In [ ]:
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px

init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
In [ ]:
#load data
df = px.data.gapminder()
df.head()
Out[ ]:
country continent year lifeExp pop gdpPercap iso_alpha iso_num
0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG 4
1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG 4
2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG 4
3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG 4
4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG 4

Question 1:¶

Recreate the barplot below that shows the population of different continents for the year 2007.

Hints:

  • Extract the 2007 year data from the dataframe. You have to process the data accordingly
  • use plotly bar
  • Add different colors for different continents
  • Sort the order of the continent for the visualisation. Use axis layout setting
  • Add text to each bar that represents the population
In [ ]:
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, orientation='h', 
            color=['orange', 'purple', 'red', 'blue', 'green'], text='pop')
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.update_traces(textposition='outside')
fig.update_traces(texttemplate='%{text:.2s}')
fig.show()

Question 2:¶

Sort the order of the continent for the visualisation

Hint: Use axis layout setting

In [ ]:
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, orientation='h', 
            color=['orange', 'purple', 'red', 'blue', 'green'], text='pop')
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.update_traces(textposition='outside')
fig.update_traces(texttemplate='%{text:.2s}')
fig.show()

Question 3:¶

Add text to each bar that represents the population

In [ ]:
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, orientation='h', 
            color=['orange', 'purple', 'red', 'blue', 'green'], text='pop')
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.update_traces(textposition='outside')
fig.update_traces(texttemplate='%{text:.2s}')
fig.show()

Question 4:¶

Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years

In [ ]:
# YOUR CODE HERE
df_continent_year = df.groupby(['year', 'continent']).sum().reset_index()
fig = px.bar(df_continent_year, x="pop", y=df_continent_year.continent, orientation='h', animation_frame="year", animation_group="continent", color="continent",
             range_x=[0,4000000000])
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.show()

Question 5:¶

Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years

In [ ]:
# YOUR CODE HERE
df_country_year = df.groupby(['year', 'country']).sum().reset_index()
fig = px.bar(df_country_year, x="pop", y=df_country_year.country, orientation='h', animation_frame="year", animation_group="country", color="country",
             range_x=[0,1400000000])
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.show()

Question 6:¶

Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation

In [ ]:
# YOUR CODE HERE
df_country_year = df.groupby(['year', 'country']).sum().reset_index()
fig = px.bar(df_country_year, x="pop", y=df_country_year.country, orientation='h', animation_frame="year", animation_group="country", color="country",
             range_x=[0,1400000000], height=1000)
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.show()

Question 7:¶

Show only the top 10 countries in the animation

Hint: Use the axis limit to set this.

In [ ]:
# YOUR CODE HERE
n = len(df.country.unique())
df_country_year = df.groupby(['year', 'country']).sum().reset_index()
fig = px.bar(df_country_year, x="pop", y=df_country_year.country, orientation='h', animation_frame="year", animation_group="country", color="country",
             range_x=[0, 1400000000], range_y=(n-10.5, n))
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(showlegend=False)
fig.show()
In [ ]: